DESCRIPTION We, Brand Shopping Experiences team, are the proud owner of Brand Stores (e.g., a core product offering within our advertising portfolio. Our mission is to empower brands of all sizes, both selling on Amazon and not, to tell their story in their own unique voice to consumers. Brands utilize our products to create delightful and engaging shopping experiences that assist shoppers in discovering and evaluating them as part of purchase decisions. We succeed when brands can attract and retain shopper's attention using our products. Greater brand awareness and engagement with brands result in increased sales for the brand on Amazon. Brands utilize content and data from our products in their advertising campaigns to drive their target shoppers to our products. As the flywheel turns, our success is materialized in terms higher sales at Amazon and increasing Ad spend aimed at driving traffic to our products.
We are looking for a Senior Applied Scientist to lead the generation of data driven insights that bring long term value to brands, as well as the ideation and creation of ranking models for brand content. In this role you will influence our team's science and business strategy with your analyses. You will be expected to identify and solve ambiguous problems and science deficiencies, and to provide informed solutions based on state of the art machine learning research.
Why you will love this opportunity: Amazon is investing heavily in building a world-class advertising business. This team collaborate closely with other advertising products that drive discovery and sales. Our solutions generate billions in revenue and drive long-term growth for Amazon's Retail and Marketplace businesses. We deliver billions of ad impressions, millions of clicks daily, and break fresh ground to create world-class products. We are a highly motivated, collaborative, and fun-loving team with an entrepreneurial spirit - with a broad mandate to experiment and innovate.
Impact and Career Growth: You will invent new experiences and influence customer-facing shopping experiences to help suppliers grow their retail business and the auction dynamics that leverage native advertising; this is your opportunity to work within the fastest-growing businesses across all of Amazon! Define a long-term science vision for our advertising business, driven from our customers' needs, translating that direction into specific plans for research and applied scientists, as well as engineering and product teams. This role combines science leadership, organizational ability, technical strength, product focus, and business understanding.
Team video
#adpt-brand-shopping-experiences-science
Key job responsibilities
As an Applied Scientist on this team, you will:
- Be the technical leader in Machine Learning; lead efforts within this team and across other teams.
- Perform hands-on analysis and modeling of enormous data sets to develop insights that increase traffic monetization and merchandise sales, without compromising the shopper experience.
- Drive end-to-end Machine Learning projects that have a high degree of ambiguity, scale, complexity.
- Build machine learning models, perform proof-of-concept, experiment, optimize, and deploy your models into production; work closely with software engineers to assist in productionizing your ML models.
- Run A/B experiments, gather data, and perform statistical analysis.
- Establish scalable, efficient, automated processes for large-scale data analysis, machine-learning model development, model validation and serving.
- Research new and innovative machine learning approaches.
- Recruit Applied Scientists to the team and provide mentorship.
About the team
The Posts Foundation & Science (PFS) team develops and deploys into production Machine Learning Algorithms that quantify relevance, select and organize Brands' pieces of content in different placements in Amazon.com. PFS goal is to create engaging and enjoyable shopping experiences that incentivize Brand discovery and that foster Brand-Customer relationships.
We are open to hiring candidates to work out of one of the following locations:
Seattle, WA, USA BASIC QUALIFICATIONS - 3+ years of building models for business application experience
- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
- Experience in patents or publications at top-tier peer-reviewed conferences or journals
- Experience programming in Java, C++, Python or related language
- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing
